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Statistical Engineering Jobs in Elgin, IL (NOW HIRING)

Amphenol HSIO

Product Development Engineer

Schaumburg, IL · On-site

$100K - $150K/yr

Experience and skilled use of Solid Works, FEA simulation software (ANSYS preferred), Geometric Dimensioning and Tolerancing principles, and Statistical Engineering methods. * Ability to work ...

Ra

Marketing Analytics Manager

Chicago, IL · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

INISGHT2PROFIT

Senior Model Developer 1

Chicago, IL

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

INISGHT2PROFIT

Senior Model Developer 1

Chicago, IL · On-site

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

INISGHT2PROFIT

Senior Model Developer 1

Chicago, IL · On-site

$120 - $145/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

INISGHT2PROFIT

Senior Model Developer 1

Chicago, IL · On-site

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

Insight2profit

Senior Model Developer 1

Chicago, IL · On-site

$120 - $145/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

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Statistical Engineering information

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What are the key skills and qualifications needed to thrive as a statistical engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What job categories do people searching Statistical Engineering jobs in Elgin, IL look for?

The top searched job categories for Statistical Engineering jobs in Elgin, IL are:

What cities near Elgin, IL are hiring for Statistical Engineering jobs?

Cities near Elgin, IL with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Elgin, IL as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Statistical Science Lead, Oncology Solid Tumor (Director Biostatistics)

Northbrook, IL • On-site

Astellas Pharma, Inc.
See more jobs at Astellas Pharma, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

About Astellas
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose and Scope:
The Global Statistical Lead (GSTATL) for Solid Tumor Oncology is a compound level leader within the Quantitative Science & Evidence Generation (QSEG) organization, accountable for driving the statistical and analytical strategy for a compound or indication across its full development lifecycle.
This position leads a cross-functional, integrated quantitative team supporting evidence generation and decision-making, with responsibility spanning clinical trial statistics, exploratory statistics, medical affairs statistics, real-world evidence (RWE), safety/pharmacovigilance (PV) statistics, statistical programming, biomarker statistics, and advanced analytics.
The role ensures consistency and scientific excellence across studies, indications, and evidence types-while enabling innovation in statistical methodology, clinical development optimization, and external engagement. The GSTATL plays a key role in regulatory and payer strategy, as well as internal governance and portfolio planning for solid tumor assets.
Responsibilities and Accountabilities:
  1. Strategic Statistical Leadership
  • Serve as the compound-level statistical lead for solid tumor oncology, responsible for end-to-end quantitative strategy supporting clinical development, evidence generation, and regulatory/payer interactions.
  • Lead development of integrated statistical strategies across all relevant study types and functions (e.g., e.g., phase 1b/2 signal-seeking, pivotal, exploratory, RWE, post-marketing).
  • Align statistical and analytical approaches with the target product profile (TPP), development strategy, and external evidence needs.
  1. Cross-Functional Quantitative Team Leadership
  • Lead and coordinate statistical and analytics contributions from a broad QSEG team, including:
  • Clinical trial biostatisticians
  • Exploratory oncology statisticians (e.g., tumor burden modeling, subgroup/signal detection)
  • Medical Affairs statisticians
  • Statistical programmers
  • Biomarker/statistical genetics experts in oncology
  • RWE analysts/statistical epidemiologists
  • Safety/PV statisticians
  • Advanced analytics and modeling specialists
  • Ensure scientific alignment, quality, and integration across all statistical contributions at the compound level.
  1. Regulatory and HTA Engagement
  • Represent Astellas on all statistical matters in global regulatory interactions (e.g., FDA, EMA, PMDA).
  • Guide preparation of statistical content for regulatory submissions, briefing packages, and health technology assessment (HTA) dossiers.
  • Lead the development of statistical components of payer evidence strategies, including indirect comparisons and external control methodologies.
  • Innovation and Methodological Excellence
  • Champion the use of oncology-appropriate innovations, including Bayesian designs, adaptive trial designs, external controls, tumor-agnostic approaches, and AI/ML tools to enhance study design and signal detection.
  • Promote exploratory data analysis, modeling, and simulation to support rapid development decisions in Solid Tumor trials.
  • Integrate clinical, biomarker, safety, and real-world evidence to drive cohesive, data-driven development and access strategies.
  1. Mentorship and Capability Development
  • Mentor statisticians and analytics professionals across QSEG, supporting both scientific development and career growth.
  • Share knowledge and best practices across study teams and therapeutic areas.
  • Contribute to internal training, methodology development, and talent pipeline initiatives.
  1. Governance and Cross-Functional Influence
  • Participate in global asset governance and development team meetings, influencing decisions with rigorous statistical insight.
  • Collaborate with Clinical Development, Medical Affairs, Regulatory, Market Access, and Commercial to ensure alignment on evidence planning.
  • Lead or contribute to internal initiatives, including standardization efforts, methodology forums, and innovation networks.

Required Qualifications:
  • Advanced degree (PhD, MD, MBA, or equivalent) in Oncology, Life Sciences, or a related field.
  • Minimum 8 years of experience in pharmaceutical R&D, external innovation, academic collaboration, or scientific partnering.
  • Strong understanding of oncology drug discovery, translational science, and modality platforms (e.g., next gen ADCs, engineered biologics, engineered small molecules).
  • Proven ability to engage with scientific leaders and navigate early-stage biotech and academic ecosystems.
  • Excellent communication skills with the ability to synthesize complex scientific information into strategic insights.
  • Prior experience in academic liaison, external innovation, or strategic scouting in pharma/biotech or venture ecosystems.
  • Familiarity with CI platforms, digital literature monitoring tools, and academic/biotech databases.
  • A strong network in academia or biotech focused on oncology.
  • Experience in competitive intelligence, scientific scouting, or innovation strategy within oncology.
  • Familiarity with academic-industry collaboration models and consortia-based innovation.
  • High digital literacy and comfort with landscape analytics, scientific intelligence platforms, and conference tracking tools.

Preferred Qualifications:
  • PhD (or MSc with equivalent experience) in Biostatistics, Statistics, or a related quantitative discipline.
  • Minimum of 10 years of experience in oncology clinical development, with proven leadership in statistical strategy and regulatory submissions.
  • Demonstrated experience leading statistical contributions at the compound level, including regulatory engagement and cross-functional integration.
  • Broad expertise across clinical trial design, exploratory oncology analytics, biomarker evaluation, RWE, and post-marketing study support.
  • Broad expertise across clinical trial statistics, exploratory statistics, Medical Affairs statistics, biomarker statistics, safety/PV statistics, real-world evidence (RWE) analytics, and statistical programming.
  • Strong understanding of the drug development lifecycle, regulatory requirements, and evidence generation for both approval and market access.
  • Ability to lead and influence cross-functional, global teams within a matrix environment.
  • Strong communication, collaboration, and stakeholder engagement skills across both technical and non-technical audiences.
  • Proficiency in statistical software (e.g., SAS, R) and familiarity with simulation tools and modern statistical methods.

Location and Working Environment
This position is based in Northbrook, IL. Remote work from anywhere in the US is available.
At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.
What awaits you at Astellas?
  • Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide. Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
  • Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
  • A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.

Our Organizational Values and Behaviors
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as 'One Astellas', working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.
Salary Range
$170,450 - $243,500 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations)
Benefits:
  • Medical, Dental and Vision Insurance
  • Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
  • 401(k) match and annual company contribution
  • Company paid life insurance
  • Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
  • Long Term Incentive Plan for eligible positions
  • Company fleet vehicle for eligible positions
  • Referral bonus program

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